CN115314552B - Data processing method and device, electronic equipment and storage medium - Google Patents
Data processing method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application discloses a data processing method, a device, electronic equipment and a storage medium, wherein the method comprises the steps that a terminal sends an analysis resource acquisition request to an intermediate server, the analysis resource acquisition request comprises resource identification information of target analysis resources, and the target analysis resources are used for carrying out service analysis processing on target service data of target service; the intermediate server transmits an analysis resource acquisition request to the resource server; the resource server sends the target analysis resource to the intermediate server based on the resource identification information; the intermediate server forwards the target analysis resource to the service network node; the service network node acquires target service data, and performs service analysis processing on the target service data based on target analysis resources to acquire target analysis data; the service network node sends the target analysis data to the terminal. The embodiment of the application can realize privacy protection of service data, ensure the safety of the data and improve the reliability of the data processing process.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to a data processing method, a data processing device, an electronic device, and a storage medium.
Background
With the development of information technology, particularly cloud computing and big data technology, the value of data is gradually paid attention to and accepted, and the data processing requirements of data transaction and the like are also increasing. Because data is greatly different from traditional commodities, such as easy to lose, easy to copy, and needs to be kept secret, the processing capacity of data processing such as data transaction, the traceability of the process, the integrity of the data and the reliability are all higher requirements.
In the related art, the participants in data processing solve the problems of information symmetry and processing witness in the data processing process through a data processing platform, data transmission is carried out in the processing process, and finally, the data information of the transaction is exposed, the data can be copied at low cost and secondarily resale, the privacy safety of the data is not effectively ensured, and the effectiveness of analysis resources is low.
Disclosure of Invention
Aiming at the problems in the prior art, the application discloses a data processing method, a device, electronic equipment and a storage medium, so as to realize privacy protection of service data, ensure the safety of the data and improve the reliability of a data processing process. The technical scheme disclosed by the application is as follows:
according to an aspect of the disclosed embodiments of the present application, there is provided a data processing method, which is performed by an intermediate server, including:
receiving an analysis resource acquisition request sent by a terminal, wherein the analysis resource acquisition request comprises resource identification information of target analysis resources, and the target analysis resources are used for carrying out service analysis processing on target service data of target service;
forwarding the analysis resource acquisition request to a resource server;
receiving the target analysis resource sent by the resource server based on the resource identification information;
forwarding the target analysis resource to a service network node so that the service network node obtains the target service data, and performing service analysis processing on the target service data based on the target analysis resource to obtain target analysis data; and transmitting the target analysis data to the terminal.
Optionally, the method further comprises:
receiving data description information of original service data corresponding to at least one preset service sent by a service server, wherein the data description information comprises data identification information and key field information;
forwarding the data identification information and the key field information to a resource server, so that the resource server establishes at least one preset analysis resource corresponding to the at least one preset service based on the key field information, and generates resource identification information of the at least one preset analysis resource;
receiving the resource identification information and the data identification information sent by the resource server;
and establishing an association relation between the data identification information and the resource identification information.
Optionally, before forwarding the target analysis resource to the service network node, the method further includes:
determining target data identification information corresponding to the target analysis resources based on the association relation;
the forwarding the target analysis resource to a service network node comprises:
forwarding the target analysis resource and the target data identification information to the service network node.
Optionally, the method further comprises: and uploading the association relation to a preset storage certificate node corresponding to a preset blockchain.
Optionally, the method further comprises:
generating at least one resource description information corresponding to the at least one preset analysis resource;
transmitting the at least one resource description information to the terminal so that the terminal displays the at least one resource description information;
the analysis resource acquisition request sent by the receiving terminal comprises the following steps:
receiving an analysis resource acquisition request sent by a terminal based on target resource description information;
the target resource description information is resource description information corresponding to the target analysis resource in the at least one resource description information.
According to another aspect of the disclosed embodiments of the application, there is provided a data processing method performed by a service network node, comprising:
receiving a target analysis resource forwarded by an intermediate server, wherein the target analysis resource is obtained from a resource server under the condition that the intermediate server receives an analysis resource obtaining request which is sent by a terminal and comprises resource identification information of the target analysis resource, and the target analysis resource is used for carrying out service analysis processing on target service data of a target service;
acquiring the target business data, and carrying out business analysis processing on the target business data based on the target analysis resources to obtain target analysis data;
and sending the target analysis data to the terminal.
According to another aspect of the disclosed embodiments of the present application, there is provided a data processing apparatus including:
the analysis resource acquisition request receiving module is used for receiving an analysis resource acquisition request sent by the terminal, wherein the analysis resource acquisition request comprises resource identification information of target analysis resources, and the target analysis resources are used for carrying out service analysis processing on target service data of target service;
an analysis resource acquisition request forwarding module, configured to forward the analysis resource acquisition request to a resource server;
the first target analysis resource receiving module is used for receiving the target analysis resource sent by the resource server based on the resource identification information;
the target analysis resource forwarding module is used for forwarding the target analysis resource to a service network node so that the service network node can acquire the target service data, and performing service analysis processing on the target service data based on the target analysis resource to acquire target analysis data; and transmitting the target analysis data to the terminal.
According to another aspect of the disclosed embodiments of the present application, there is provided a data processing apparatus including:
the second target analysis resource receiving module is used for receiving target analysis resources forwarded by the intermediate server, wherein the target analysis resources are obtained from the resource server under the condition that the intermediate server receives an analysis resource obtaining request which is sent by the terminal and comprises resource identification information of the target analysis resources, and the target analysis resources are used for carrying out service analysis processing on target service data of target service;
the target service data acquisition module is used for acquiring the target service data, and carrying out service analysis processing on the target service data based on the target analysis resources to obtain target analysis data;
and the target analysis data sending module is used for sending the target analysis data to the terminal.
According to another aspect of the disclosed embodiments of the present application, there is provided an electronic apparatus including: a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the data processing method of the above aspect.
According to another aspect of the disclosed embodiments of the application, there is provided a computer readable storage medium, which when executed by a processor of an electronic device, causes the electronic device to perform the data processing method of the above aspect of the disclosed embodiments of the application.
According to another aspect of the disclosed embodiments of the application, there is provided a computer program product comprising instructions which, when run on a computer, cause the computer to perform the data processing method of the above aspect of the disclosed embodiments of the application.
The data processing method provided by the application has the following technical effects:
the application can solve the problem of bare data information in the data processing process, the acquisition and analysis processing of the original service data only occur at the service network node side, other participants can not acquire the original service data, the service data is protected from being tampered, the privacy protection of the service data is realized, and the data security and the reliability of the data processing process are improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure and do not constitute an undue limitation on the disclosure.
FIG. 1 is a schematic diagram of a data processing system shown in accordance with an illustrative embodiment;
FIG. 2 is a flow diagram illustrating a method of data processing according to an example embodiment;
FIG. 3 is a schematic diagram illustrating a data preprocessing process, according to an exemplary embodiment;
FIG. 4 is a flow diagram illustrating a method of data processing according to an example embodiment;
FIG. 5 is a flow diagram illustrating a method of data processing according to an example embodiment;
FIG. 6 is a block diagram of a data processing apparatus according to an exemplary embodiment;
FIG. 7 is a block diagram of a data processing apparatus according to an exemplary embodiment;
FIG. 8 is a block diagram of a terminal electronic device for data processing, shown in accordance with an exemplary embodiment;
FIG. 9 is a block diagram of a server electronic device for data processing, according to an example embodiment.
Detailed Description
In order that those skilled in the art will better understand the disclosed embodiments of the present application, a detailed description of the disclosed embodiments of the present application will be provided with reference to the accompanying drawings. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the disclosed embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
With reference now to FIG. 1, FIG. 1 is a schematic diagram of a data processing system that may include a terminal 100, a resource server 200, a traffic server 300, and an intermediate server 400, according to an exemplary embodiment.
Specifically, the terminal may be a terminal corresponding to the data requiring party, where the terminal may include a smart phone, a tablet computer, a notebook computer, a digital assistant, an intelligent wearable device, an on-vehicle terminal, and other types of entity devices, and may also include software running in the entity devices, such as an application program, and the like.
Specifically, the resource server may be a server corresponding to the resource provider; the service server may be a server corresponding to the service data provider; optionally, the service server is provided with a service network node, and the service network node is used for storing original service data and carrying out service analysis processing in combination with the service data. The intermediate server may be a server corresponding to an intermediate platform in the service analysis process. In particular, the server may comprise a server that operates independently, or a distributed server, or a server cluster that is composed of a plurality of servers. The intermediate server may include a network communication unit, a processor, a memory, and the like.
In practical applications, the intermediate server may provide background services for the terminal, the resource server, and the service server in the data processing process.
FIG. 2 is a flow chart of a method of data processing according to an exemplary embodiment, the present disclosure provides method operational steps as described in the examples or flow charts, but may include more or fewer operational steps based on conventional or non-inventive labor. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When implemented in a real system or server product, the methods illustrated in the embodiments or figures may be performed sequentially or in parallel (e.g., in a parallel processor or multithreaded environment). As shown in fig. 2, the data processing method includes the following steps.
S201: the terminal sends an analysis resource acquisition request to the intermediate server, wherein the analysis resource acquisition request comprises resource identification information of target analysis resources, and the target analysis resources are used for carrying out service analysis processing on target service data of target services.
In a specific embodiment, the target analysis resource may be an analysis resource for performing service analysis processing on target service data of a target service, and in particular, the analysis resource may include an algorithm model, a code, and the like.
In a specific embodiment, the resource identification information may be identification information for distinguishing between different analysis resources.
In an alternative embodiment, as shown in fig. 3, before step S201, the data processing method provided by the embodiment of the present application may further include the following steps:
s301: the service server sends data description information of original service data corresponding to at least one preset service to the intermediate server, wherein the data description information comprises data identification information and key field information;
s303: the intermediate server forwards the data identification information and the key field information to the resource server;
s305: the resource server establishes at least one preset analysis resource corresponding to the at least one preset service based on the key field information and generates resource identification information of the at least one preset analysis resource;
s307: the resource server sends the resource identification information and the data identification information to the intermediate server;
s309: and the intermediate server establishes an association relation between the data identification information and the resource identification information.
In a specific embodiment, the terminal, the resource provider and the service data provider may register according to the registration procedure of the intermediate platform, and then log in according to the login entry of the intermediate platform using the account password.
In an actual service scene, after the service server registers, the data description information of the original service data of the corresponding service can be sent to the intermediate server, so that the intermediate server forwards the data description information to the resource server, the resource server establishes corresponding analysis resources, and then the service data of the corresponding service is analyzed and processed.
In a specific embodiment, the data identification information may be identification information for distinguishing different original service data. The key field information may be a field characterizing the original service data, for example, in the case where the original service data is car data, the key field information may include a car brand, sales volume, a price for a deal, and the like.
In a specific embodiment, the data identification information corresponds to the resource identification information one-to-one.
In an optional embodiment, the intermediate server uploads the association relationship to a preset certification node corresponding to a preset blockchain.
In the above embodiment, the acquisition and analysis processing of the original service data only occurs at the service network node side, and other participants cannot acquire the original service data, so that the service data is protected from being tampered, the privacy protection of the service data is realized, and the data security is improved. In addition, the associated information in the data processing process is stored and verified through the blockchain technology, so that the traceability of the data processing process is ensured, and the data processing process is safe and reliable.
In an optional embodiment, the data description information further includes a data instance, and before establishing the preset analysis resource corresponding to the at least one preset service, the method further includes:
the resource server performs service demand testing based on the data example to obtain a testing result;
and under the condition that the test result meets the preset requirement condition of the at least one preset service, the resource server establishes preset analysis resources corresponding to the at least one preset service based on the key field information.
In a specific embodiment, the preset demand condition may be a desired result of at least one preset service, and the preset demand condition may be determined according to an actual service situation. For example, one preset service is to analyze and evaluate the second cart, the data is exemplified by data content generated in the processes of transaction, use, operation and maintenance of the vehicle, and the corresponding preset requirement condition is to evaluate the residual value of the second cart.
In the above embodiment, before the resource server establishes the preset analysis resource corresponding to at least one preset service, the service demand test may be performed based on the data example, and in the case that the test result meets the preset demand condition, the preset analysis resource is established based on the key field information, so that the effectiveness of the analysis resource may be improved.
In an alternative embodiment, the method further comprises:
the intermediate server generates at least one resource description information corresponding to the at least one preset analysis resource;
the intermediate server sends the at least one resource description information to the terminal;
the terminal displays the at least one resource description information.
Correspondingly, the sending, by the terminal, the analysis resource obtaining request to the intermediate server may include sending, by the terminal, the analysis resource obtaining request to the intermediate server based on target resource description information, where the target resource description information is resource description information corresponding to a target analysis resource in the at least one resource description information.
In a specific embodiment, the resource description information may be information describing at least one preset analysis resource, and specifically, the resource description information may include a name, a function, an analysis sample, and the like of the analysis resource.
In a specific embodiment, the terminal acquires the at least one presented resource description information by clicking and sends an analysis resource acquisition request to the intermediate server based on the target resource description information.
S203: the intermediate server forwards the analysis resource acquisition request to a resource server.
S205: the resource server sends the target analysis resource to the intermediate server based on the resource identification information.
Specifically, the resource server is preset with at least one analysis resource corresponding to the service, the at least one service may include the target service, and accordingly, the resource server may determine the corresponding target analysis resource by combining the resource identification information in the analysis resource acquisition request, and send the target analysis resource to the intermediate server.
S207: and the intermediate server forwards the target analysis resource to a service network node.
In a specific embodiment, the service server may participate in the data processing procedure through a service network node, and the service network node does not transmit the target analysis resource.
In an alternative embodiment, before the intermediate server forwards the target analysis resource to a service network node, the method further comprises:
the intermediate server determines target data identification information corresponding to the target analysis resource based on the association relation;
correspondingly, the forwarding, by the intermediate server, the target analysis resource to the service network node includes:
the intermediate server forwards the target analysis resource and the target data identification information to the service network node.
In a specific embodiment, the intermediate server determines the data identification information corresponding to the resource identification information of the target analysis resource based on the association relationship between the data identification information and the resource identification information.
S209: and the service network node acquires the target service data, and performs service analysis processing on the target service data based on the target analysis resource to obtain target analysis data.
In an alternative embodiment, the service network node obtaining the target service data may include:
and the service network node acquires the target service data based on the target data identification information.
S211: and the service network node sends the target analysis data to the terminal.
In an alternative embodiment, the sending, by the service network node, the target analysis data to the terminal may include:
the service network node sends the target analysis data to the intermediate server;
and the intermediate server forwards the target analysis data to the terminal.
According to the technical scheme provided by the embodiment of the specification, the terminal sends the analysis resource acquisition request to the intermediate server, the analysis resource acquisition request comprises the resource identification information of the target analysis resource, the target analysis resource is used for carrying out service analysis processing on the target service data of the target service, the intermediate server forwards the analysis resource acquisition request to the resource server, the resource server sends the target analysis resource to the intermediate server based on the resource identification information, the intermediate server forwards the target analysis resource to the service network node, the service network node acquires the target service data, the service analysis processing is carried out on the target service data based on the target analysis resource, the target analysis data is obtained, and the service network node sends the target analysis data to the terminal, so that the acquisition and the analysis processing of the service data only occur on the service network node side, the privacy protection of the service data in the data processing process is realized, the security of the data is ensured, the attribute association relationship in the data processing process is stored through the block chain, the traceability of the data processing process is ensured, and the reliability is improved.
In the following description, a specific embodiment of a data processing method is described by using an intermediate server as an execution body, and fig. 4 is a schematic flow chart of a data processing method according to an embodiment of the present application, specifically, with reference to fig. 4, the method may include:
s401: and receiving an analysis resource acquisition request sent by the terminal, wherein the analysis resource acquisition request comprises resource identification information of target analysis resources, and the target analysis resources are used for carrying out service analysis processing on target service data of target service.
S403: and forwarding the analysis resource acquisition request to a resource server.
S405: and receiving the target analysis resource sent by the resource server based on the resource identification information.
S407: forwarding the target analysis resource to a service network node so that the service network node obtains the target service data, and performing service analysis processing on the target service data based on the target analysis resource to obtain target analysis data; and transmitting the target analysis data to the terminal.
In some embodiments, the method may further comprise:
receiving data description information of original service data corresponding to at least one preset service sent by a service server, wherein the data description information comprises data identification information and key field information;
forwarding the data identification information and the key field information to a resource server, so that the resource server establishes at least one preset analysis resource corresponding to the at least one preset service based on the key field information, and generates resource identification information of the at least one preset analysis resource;
receiving the resource identification information and the data identification information sent by the resource server;
and establishing an association relation between the data identification information and the resource identification information.
In some embodiments, before forwarding the target analysis resource to a traffic network node, the method may further comprise:
determining target data identification information corresponding to the target analysis resources based on the association relation;
accordingly, forwarding the target analysis resource to the service network node may include:
forwarding the target analysis resource and the target data identification information to the service network node.
In some embodiments, the method may further comprise: and uploading the association relation to a preset storage certificate node corresponding to a preset blockchain.
In some embodiments, the method may further comprise:
generating at least one resource description information corresponding to the at least one preset analysis resource;
transmitting the at least one resource description information to the terminal so that the terminal displays the at least one resource description information;
correspondingly, the analysis resource acquisition request sent by the receiving terminal may include:
receiving an analysis resource acquisition request sent by a terminal based on target resource description information;
the target resource description information is resource description information corresponding to the target analysis resource in the at least one resource description information.
In the following, a specific embodiment of a data processing method in the present specification will be described with a service network node as an execution body, and fig. 5 is a schematic flow chart of a data processing method according to an embodiment of the present application,
specifically, as shown in connection with fig. 5, the method may include:
s501: and receiving target analysis resources forwarded by the intermediate server, wherein the target analysis resources are obtained from the resource server under the condition that the intermediate server receives an analysis resource obtaining request comprising resource identification information of the target analysis resources, which is sent by the terminal, and the target analysis resources are used for carrying out service analysis processing on target service data of target service.
S503: and acquiring the target service data, and performing service analysis processing on the target service data based on the target analysis resource to obtain target analysis data.
S505: and sending the target analysis data to the terminal.
The embodiment of the application also provides a data processing device, as shown in fig. 6, which comprises:
an analysis resource acquisition request receiving module 610, configured to receive an analysis resource acquisition request sent by a terminal, where the analysis resource acquisition request includes resource identification information of a target analysis resource, where the target analysis resource is used to perform service analysis processing on target service data of a target service;
an analysis resource acquisition request forwarding module 620, configured to forward the analysis resource acquisition request to a resource server;
a first target analysis resource receiving module 630, configured to receive the target analysis resource sent by the resource server based on the resource identification information;
a target analysis resource forwarding module 640, configured to forward the target analysis resource to a service network node, so that the service network node obtains the target service data, and perform service analysis processing on the target service data based on the target analysis resource to obtain target analysis data; and transmitting the target analysis data to the terminal.
In some embodiments, the apparatus may further comprise:
the system comprises a data description information receiving module, a service server and a service information processing module, wherein the data description information receiving module is used for receiving data description information of original service data corresponding to at least one preset service sent by the service server, and the data description information comprises data identification information and key field information;
the data description information forwarding module is used for forwarding the data identification information and the key field information to a resource server so that the resource server establishes at least one preset analysis resource corresponding to the at least one preset service based on the key field information and generates resource identification information of the at least one preset analysis resource;
the information receiving module is used for receiving the resource identification information and the data identification information sent by the resource server;
the association relation establishing module is used for establishing the association relation between the data identification information and the resource identification information;
in some embodiments, the apparatus may further comprise:
the target data identification information determining module is used for determining target data identification information corresponding to the target analysis resource based on the association relation;
accordingly, the target analysis resource forwarding module 540 may be further configured to forward the target analysis resource and the target data identification information to the service network node;
in some embodiments, the apparatus may further comprise:
the association relation uploading module is used for uploading the association relation to a preset certification node corresponding to a preset blockchain;
in some embodiments, the apparatus may further comprise:
the resource description information generation module is used for generating at least one resource description information corresponding to the at least one preset analysis resource;
the resource description information sending module is used for sending the at least one resource description information to the terminal so that the terminal can display the at least one resource description information;
correspondingly, the analysis resource acquisition request receiving module 510 may be further configured to receive the analysis resource acquisition request sent by the terminal based on target resource description information, where the target resource description information is resource description information corresponding to the target analysis resource in the at least one resource description information.
The device and method embodiments in the device embodiments described are based on the same inventive concept.
The embodiment of the application also provides a data processing device, as shown in fig. 7, which comprises:
the second target analysis resource receiving module 710 is configured to receive a target analysis resource forwarded by the intermediate server, where the target analysis resource is obtained from the resource server when the intermediate server receives an analysis resource obtaining request including resource identification information of the target analysis resource sent by the terminal, and the target analysis resource is used to perform service analysis processing on target service data of a target service;
the target service data acquisition module 720 is configured to acquire the target service data, and perform service analysis processing on the target service data based on the target analysis resource to obtain target analysis data;
and a target analysis data transmitting module 730, configured to transmit the target analysis data to the terminal.
The device and method embodiments in the device embodiments described are based on the same inventive concept.
Fig. 8 is a block diagram illustrating an electronic device for data processing, which may be a terminal, according to an exemplary embodiment, and an internal structure diagram thereof may be as shown in fig. 8. The electronic device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic device includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the electronic device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a data processing method. The display screen of the electronic equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the electronic equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the electronic equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
Fig. 9 is a block diagram illustrating an electronic device for data processing, which may be a server, according to an exemplary embodiment, and an internal structure diagram thereof may be as shown in fig. 9. The electronic device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic device includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the electronic device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a data processing method.
It will be appreciated by those skilled in the art that the structures shown in fig. 8 or 9 are merely block diagrams of portions of structures related to the present disclosure and do not constitute limitations of the electronic devices to which the present disclosure is applied, and that a particular electronic device may include more or fewer components than shown, or may combine certain components, or have different arrangements of components.
In an exemplary embodiment, there is also provided an electronic device including: a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement a data processing method as in the disclosed embodiments of the application.
In an exemplary embodiment, a computer readable storage medium is also provided, which when executed by a processor of an electronic device, enables the electronic device to perform the data processing method in the disclosed embodiments of the application.
In an exemplary embodiment, a computer program product containing instructions is also provided which, when run on a computer, cause the computer to perform the data processing method in the disclosed embodiments of the application.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate
SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
Other embodiments of the disclosed application will be apparent to those skilled in the art from consideration of the specification and practice of the disclosed application. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method of data processing, the method performed by an intermediate server, comprising:
receiving an analysis resource acquisition request sent by a terminal, wherein the analysis resource acquisition request comprises resource identification information of target analysis resources, and the target analysis resources are used for carrying out service analysis processing on target service data of target service;
forwarding the analysis resource acquisition request to a resource server;
receiving the target analysis resource sent by the resource server based on the resource identification information;
forwarding the target analysis resource to a service network node so that the service network node obtains the target service data, and performing service analysis processing on the target service data based on the target analysis resource to obtain target analysis data; and transmitting the target analysis data to the terminal.
2. A method of data processing according to claim 1, wherein the method further comprises:
receiving data description information of original service data corresponding to at least one preset service sent by a service server, wherein the data description information comprises data identification information and key field information;
forwarding the data identification information and the key field information to a resource server, so that the resource server establishes at least one preset analysis resource corresponding to the at least one preset service based on the key field information, and generates resource identification information of the at least one preset analysis resource;
receiving the resource identification information and the data identification information sent by the resource server;
and establishing an association relation between the data identification information and the resource identification information.
3. A data processing method according to claim 2, wherein before forwarding the target analysis resource to a service network node, the method further comprises:
determining target data identification information corresponding to the target analysis resources based on the association relation;
the forwarding the target analysis resource to a service network node comprises:
forwarding the target analysis resource and the target data identification information to the service network node.
4. A method of data processing according to claim 2, wherein the method further comprises: and uploading the association relation to a preset storage certificate node corresponding to a preset blockchain.
5. A method of data processing according to claim 2, wherein the method further comprises:
generating at least one resource description information corresponding to the at least one preset analysis resource;
transmitting the at least one resource description information to the terminal so that the terminal displays the at least one resource description information;
the analysis resource acquisition request sent by the receiving terminal comprises the following steps:
receiving an analysis resource acquisition request sent by a terminal based on target resource description information;
the target resource description information is resource description information corresponding to the target analysis resource in the at least one resource description information.
6. A data processing method, the method being performed by a service network node, comprising:
receiving a target analysis resource forwarded by an intermediate server, wherein the target analysis resource is obtained from a resource server under the condition that the intermediate server receives an analysis resource obtaining request which is sent by a terminal and comprises resource identification information of the target analysis resource, and the target analysis resource is used for carrying out service analysis processing on target service data of a target service;
acquiring the target business data, and carrying out business analysis processing on the target business data based on the target analysis resources to obtain target analysis data;
and sending the target analysis data to the terminal.
7. A data processing apparatus, the apparatus comprising:
the analysis resource acquisition request receiving module is used for receiving an analysis resource acquisition request sent by the terminal, wherein the analysis resource acquisition request comprises resource identification information of target analysis resources, and the target analysis resources are used for carrying out service analysis processing on target service data of target service;
an analysis resource acquisition request forwarding module, configured to forward the analysis resource acquisition request to a resource server;
the first target analysis resource receiving module is used for receiving the target analysis resource sent by the resource server based on the resource identification information;
the target analysis resource forwarding module is used for forwarding the target analysis resource to a service network node so that the service network node can acquire the target service data, and performing service analysis processing on the target service data based on the target analysis resource to acquire target analysis data; and transmitting the target analysis data to the terminal.
8. A data processing apparatus, the apparatus comprising:
the second target analysis resource receiving module is used for receiving target analysis resources forwarded by the intermediate server, wherein the target analysis resources are obtained from the resource server under the condition that the intermediate server receives an analysis resource obtaining request which is sent by the terminal and comprises resource identification information of the target analysis resources, and the target analysis resources are used for carrying out service analysis processing on target service data of target service;
the target service data acquisition module is used for acquiring the target service data, and carrying out service analysis processing on the target service data based on the target analysis resources to obtain target analysis data;
and the target analysis data sending module is used for sending the target analysis data to the terminal.
9. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the data processing method of any one of claims 1 to 5 or claim 6.
10. A computer readable storage medium, characterized in that instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the data processing method of any one of claims 1 to 5 or claim 6.
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